staff machine learning infrastructure engineer, simulation Work, Jobs in london, eng (with Salaries)

Staff Machine Learning Infrastructure Engineer, Simulation
Waymo —London
- £155,000 - £163,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
4d
Research Engineer, Machine Learning (RL Velocity)
Anthropic —London
- £370,000 - £630,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- Communication skills
- Flexible schedule
Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- System design
- Master's degree
- C++
- Flexible schedule
Machine Learning Systems & Infrastructure Engineer
SpAItial —London
- Full-time
- Azure
- SQL
- AWS
Staff Software Engineer, Simulation ML Infrastructure
Waymo —London
- £155,000 - £163,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Staff Software Engineer - Sustainability
Samsara —London
- Overtime
- Hybrid work
- Machine learning
- In-person
Staff Machine Learning Engineer
EDITED —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Employee assistance programme
- Flexible schedule
Intern Software Engineer: Visual Simulation
Lodestar —London
- £27,000 a year
- Computer Science
- C++
- Scripting
7d
Senior Machine Learning Engineer, Perception
Rivian —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Machine Learning Engineer
Waymo —London
- £120,000 - £130,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Data Engineer, Safeguards
Anthropic —London
- £170,000 - £220,000 a year
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
- Flexible schedule
Machine Learning Engineer
BeyondMath —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Research Assistant or Associate in Computational Mechanics for Hydrogen Turbine Technologies
Imperial College London —South Kensington
- £43,863 - £57,472 a year
- Full-time
- Doctoral degree
SoC Performance Modeling Internship - Platform Architecture
Apple —London
- Doctoral degree
- Computer Science
- Engineering
9d
Machine Learning Engineer
Orbital —London
- Full-time
- Hybrid work
- System design
- Machine learning
- AI
Simulation Driver & Performance Engineer
Formula 1 —London
- Full-time
- Master's degree
- Driving
- IT
- Store discount
- Annual leave
Software Engineer, Safeguards Foundations (Internal Tooling)
Anthropic —London
- £255,000 - £325,000 a year
- Hybrid work
- AWS
- Bachelor's degree
- Machine learning
- Flexible schedule
Junior Engineer
Tracer Cloud Inc —London
- Up to £70,000 a year
- Full-time
- AWS
- AI
- Python
- Annual leave
Staff AI Engineer, Robot Learning (Navigation)
Humanoid —London
- Full-time
- AI
Quick apply
Research Engineer, Pretraining
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Flexible schedule

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Staff Machine Learning Infrastructure Engineer, Simulation

Waymo -
London

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Job details

Full-time
£155,000 - £163,000 a year
4 days ago

Qualifications

TensorFlow
Computer Science
PyTorch
OS Kernels
Bachelor's degree
Machine learning
Driving
Distributed systems

Full job description

LONDON, ENGLAND, UNITED KINGDOM

FULL-TIME

SOFTWARE ENGINEERING

5051

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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Simulation ML Infrastructure team builds scalable AI/ML infrastructure to accelerate the Simulator team in sustainably innovating and building state of the art simulations of realistic environments for the testing and training of the Waymo Driver. To increase the fidelity and steerability of the simulations, we employ large foundation models trained on massive datasets to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather etc.

We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and distributed training will be required for designing and scaling our systems.

This role reports to an Engineering Manager.

You will:

Be part of a world-class, high-performing research engineering team to advance the state of the art of ultra realistic multi-agent simulations using foundation models.
Collaborate closely with the core Google DeepMind and Waymo Realism Modeling teams in London, and Waymo Oxford to use the large models to improve sim realism.
Provide deep technical leadership on large-scale ML model architectures, especially for autonomous vehicle models. Work at the intersection of data engineering, model development, and deployment, and provide guidance on architectural decisions and technical directions. Own large, complex systems, driving architectures that meet technical and business objectives.
Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation and model training.
Collaborate cross-functionally to derive performance and system-level requirements for large ML systems. Translate product/business goals into measurable technical deliverables, ensuring system component alignment.
Mentor junior engineers, growing their expertise and fostering a collaborative culture.

You have:

BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
5+ years of professional software engineering experience, with at least 3 years in machine learning infrastructure such as developing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.

We prefer:

MS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
10+ years of professional software engineering experience, with at least 5 years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
Solid experience in the development and optimization of machine learning infrastructure tools like DeepSpeed, PyTorch, TensorFlow, or similar frameworks.
Strong expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks.
Deep understanding of state-of-the-art machine learning models such as auto-regressive transformers and familiarity with custom-kernels for diverse h/w compute based efficiency.
Practical familiarity in Autonomous Driving, Simulations, and ML accelerators is a huge plus.

The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

£155,000—£163,000 GBP

Apply Now

Refine Your Search

staff machine learning infrastructure engineer, simulation jobs in london, eng

Staff Machine Learning Infrastructure Engineer, Simulation

Research Engineer, Machine Learning (RL Velocity)

Research Engineer, Machine Learning (Reinforcement Learning)

Machine Learning Systems & Infrastructure Engineer

Staff Software Engineer, Simulation ML Infrastructure

Staff Software Engineer - Sustainability

Staff Machine Learning Engineer

Intern Software Engineer: Visual Simulation

Senior Machine Learning Engineer, Perception

Machine Learning Engineer

Data Engineer, Safeguards

Machine Learning Engineer

Research Assistant or Associate in Computational Mechanics for Hydrogen Turbine Technologies

SoC Performance Modeling Internship - Platform Architecture

Machine Learning Engineer

Simulation Driver & Performance Engineer

Software Engineer, Safeguards Foundations (Internal Tooling)

Junior Engineer

Staff AI Engineer, Robot Learning (Navigation)

Research Engineer, Pretraining

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